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A decision making model for selecting start-up businesses in a government venture capital scheme

机译：政府风险投资计划中选择初创企业的决策模型

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Purpose - The purpose of this paper is to propose an intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) multi-criteria decision making method for the selection of start-up businesses in a government venture capital (GVC) scheme. Most GVC funded start-ups fail or underperform compared to those funded by private VCs due to a number of reasons including lack of transparency and unfairness in the selection process. By its design, the proposed method is able to increase transparency and reduce the influence of bias in GVC start-up selection processes. The proposed method also models uncertainty in the selection criteria using fuzzy set theory that mirrors the natural human decision-making process.
机译：目的-本文的目的是提出一种直觉模糊技术，用于通过类似于理想解决方案（TOPSIS）的多准则决策方法来选择政府风险投资（GVC）计划中的创业企业，以进行订单偏好。与私人VC相比，大多数由GVC资助的初创企业失败或表现不佳，原因有很多，包括选择过程中缺乏透明度和不公平性。通过其设计，所提出的方法能够增加透明度并减少GVC启动选择过程中的偏差影响。所提出的方法还使用模糊集理论对选择标准中的不确定性进行建模，该理论反映了人类的自然决策过程。

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